Hickman, MJ and Rice, SK (2010). Digital Analysis of Crime Statistics: Does Crime Conform to Benford’s Law?. Journal of Quantitative Criminology 26(3), pp. 333349.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
Halperin, M and Lusk, EJ (2016). Navigating the Benford labyrinth: A bigdata Analytic protocol illustrated using the Academic library Context. Knowledge Management & ELearning 8(1), pp. 138157.





Lusk, EJ and Halperin, M (2014). Detecting NewcombBenford digital frequency anomalies in the audit context: Suggested x^2 test possibilities. Accounting and Finance Research 3(2), pp. 191205. DOI:10.5430/afr.v3n2p191.





Lusk, EJ and Halperin, M (2014). Detecting Digital Frequency Anomalies as Benchmarked against the NewcombBenford Theoretical Frequencies: Calibrating the Chi2 Test: A Note. International Business Research 7(2). ISSN/ISBN:19139012. DOI:10.5539/ibr.v7n2p72 .





Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons, Hoboken, New Jersey. ISSN/ISBN:9781118152850.





Slepkov, AD, Ironside, KB and DeBattista, D (2013). Benford's Law: Textbook Exercises and Multiplechoice Testbanks. Preprint posted on physics arXiv  submitted 19 November 2013.





Slepkov, AD, Ironside, KB and DiBattista, D (2015). Benford’s Law: Textbook Exercises and MultipleChoice Testbanks. PLoS ONE 10(2): e0117972. DOI:10.1371/journal.pone.0117972.




